ArticleClinical and translational science2015
Accrual Index: A Real-Time Measure of the Timeliness of Clinical Study Enrollment.
Article in Clinical and translational science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Exploring Bayesian adaptive designs in multi-arm randomized controlled trials with a patient preference arm.Journal of biopharmaceutical statistics · 2025Article
- Article
- Using Bayesian hierarchical modeling for performance evaluation of clinical trial accrual for a cancer center.Contemporary clinical trials communications · 2024Article
- Building an infrastructure to support the development, conduct, and reporting of informative clinical studies: The Rockefeller University experience.Journal of clinical and translational science · 2023Article
- Pilot test of an accrual Common Metric for the NIH Clinical and Translational Science Awards (CTSA) Consortium: Metric feasibility and data quality.Journal of clinical and translational science · 2020Article
- CTSA recruitment resources: An inventory of what CTSA hubs are currently offering.Journal of clinical and translational science · 2020Article
- A survey of practices for the use of electronic health records to support research recruitment.Journal of clinical and translational science · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundAchieving timely accrual into clinical research studies remains a challenge for clinical translational research. We developed an evaluation measure, the Accrual Index (AI), normalized for sample size and study duration, using data from the protocol and study management databases. We applied the AI retrospectively and prospectively to assess its utility.
methodsAccrual Target, Projected Time to Accrual Completion (PTAC), Evaluable Subjects, Dates of Recruitment Initiation, Analysis, and Completion were defined. AI is (% Accrual Target accrued/% PTAC elapsed). Changes to recruitment practices were described, and data extracted from study management databases.
resultsDecember 2014 (or final) AI was analyzed for 101 studies initiating recruitment from 2007 to 2014. Median AI was ≥1 for protocols initiating recruitment in 2011, 2013, and 2014. The AI varied widely for studies pre-2013. Studies with AI > 4 utilized convenience samples for recruitment. Data-justified PTAC was refined in 2013-2014 after which the AI range narrowed. Protocol characteristics were not associated with study AI.
conclusionProtocol AI reflects the relative agreement between accrual feasibility assessment (PTAC), and accrual performance, and is affected by recruitment practices. The AI may be useful in managing accountability, modeling accrual, allocating recruitment resources, and testing innovations in recruitment practices.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.